RRepoGEO

REPOGEO REPORT · LITE

Stanford-Trinity/ARTEMIS

Default branch main · commit f309242d · scanned 6/16/2026, 2:17:43 AM

GitHub: 520 stars · 126 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface Stanford-Trinity/ARTEMIS, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    An autonomous AI agent for automated red teaming and vulnerability discovery in cybersecurity.
  • highreadme#2
    Strengthen README's opening statement to clarify domain

    Why:

    CURRENT
    <p align="center">ARTEMIS is an autonomous agent created by the <a href="https://trinity.cs.stanford.edu/">Stanford Trinity project</a> to automate vulnerability discovery.</p>
    COPY-PASTE FIX
    <p align="center">ARTEMIS is an autonomous AI agent and red teaming framework created by the <a href="https://trinity.cs.stanford.edu/">Stanford Trinity project</a> to automate vulnerability discovery and security assessment in cybersecurity.</p>
  • mediumhomepage#3
    Add project homepage URL

    Why:

    COPY-PASTE FIX
    https://trinity.cs.stanford.edu/

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface Stanford-Trinity/ARTEMIS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 · recommended 2×
  2. Nmap · recommended 2×
  3. GPT-3.5 · recommended 1×
  4. LangChain · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How to automate penetration testing using AI agents for vulnerability discovery?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. GPT-3.5
    3. LangChain
    4. LlamaIndex
    5. Nmap
    6. Nikto
    7. OWASP ZAP
    8. Metasploit Framework
    9. Prowler
    10. Nuclei
    11. Project Mayhem
    12. OpenAI Gym
    13. Ray RLlib

    AI recommended 13 alternatives but never named Stanford-Trinity/ARTEMIS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI-powered red teaming framework for autonomous security vulnerability assessment.
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. Nmap
    3. Metasploit (rapid7/metasploit-framework)
    4. Nuclei (projectdiscovery/nuclei)
    5. Burp Suite
    6. HacGPT
    7. Prowler (prowler-cloud/prowler)
    8. Caldera (mitre/caldera)
    9. BloodHound (BloodHoundAD/BloodHound)

    AI recommended 9 alternatives but never named Stanford-Trinity/ARTEMIS. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of Stanford-Trinity/ARTEMIS?
    pass
    AI named Stanford-Trinity/ARTEMIS explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts Stanford-Trinity/ARTEMIS in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Stanford-Trinity/ARTEMIS explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo Stanford-Trinity/ARTEMIS solve, and who is the primary audience?
    pass
    AI named Stanford-Trinity/ARTEMIS explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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Stanford-Trinity/ARTEMIS — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite